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12 articles
A new AI model, LPM 1.0, can generate 45-minute lip-synced videos from a single photo in real time, marking a major advancement in digital avatar technology.
This article explains how sigmoid and ReLU activation functions affect geometric context preservation in neural networks, and why this matters for inference accuracy.
Learn to build a complete model optimization pipeline using NVIDIA Model Optimizer with FastNAS pruning and fine-tuning techniques. This beginner-friendly tutorial walks you through training, pruning, and fine-tuning a ResNet model on CIFAR-10 dataset.
Autonomous vehicle data management startup Nomadic has raised $8.4 million to develop AI tools that transform raw video footage into structured, searchable datasets. The company's deep learning models address a critical bottleneck in autonomous vehicle development by converting massive unstructured data streams into actionable insights for developers and manufacturers.
Learn to build a Deep Q-Network (DQN) reinforcement learning agent from scratch using JAX, RLax, Haiku, and Optax to solve the CartPole environment.
This article explains how a new AI model uses memory and flexible thinking time to solve problems more efficiently than traditional models.
Learn about model compression techniques that reduce the size and computational requirements of large AI models while maintaining performance, enabling broader AI deployment.
This article explains how a new AI technique called Attention Residuals changes the way information flows in Transformer models, potentially making them more efficient and easier to train.
Learn to build a video generation pipeline using Python, Stable Diffusion, and OpenCV, gaining hands-on experience with AI video generation technology similar to what ByteDance's Seedance 2.0 uses.
Learn how adding more layers to AI neural networks helped reinforcement learning agents master complex behaviors like parkour, showing the power of deeper AI systems.
Learn how State-Space Models (SSMs) help AI systems remember long sequences in videos, solving a major challenge in video generation and understanding.
Learn to build a hybrid neural network architecture that combines attention mechanisms with convolutional layers, similar to Liquid AI's LFM2-24B-A2B model, to address scaling bottlenecks in large language models.
